Data

Relever les défis des sciences de la vie en matière de données

Capture des données
Receuillir des données et des métadonnées à partir d’espèces et de spécimens divers et hétérogènes

Analyse des données
De la bioinformatique aux dernières avancées en matière d’intelligence artificielle

Collaboration en matière de données
Les clés de l’exploitation des connaissances pertinentes

Data

Relever les défis des sciences de la vie en matière de données

Maîtriser l’ensemble de la chaîne de valeur des données pour servir les enjeux d’intégration et d’analyse avancées des données des projets des sciences de la vie.

Comment transformer une grande quantité de données complexes, hétérogènes et de haute dimension en connaissances exploitables ? En maîtrisant l’ensemble de la valeur de la chaîne de données d’une manière totalement contrôlée, depuis la capture des données, l’analyse intégrative avancée des données jusqu’à la consolidation et au partage des connaissances.

En fonction des attentes du projet et de l’origine des données (les vôtres ou celles produites conjointement dans le cadre d’un projet collaboratif), nous réalisons l’intégration de données multi-espèces, multi-échelles et longitudinales afin de décrypter plus en profondeur les mécanismes de la biologie systémique, de proposer une stratégie translationnelle, de scruter les caractéristiques moléculaires, cellulaires et systémiques en action dans l’interaction hôte-pathogène, etc.
Quelle que soit la complexité de votre projet, nous fournissons une expertise en bioinformatique, des talents en biostatistique, des méthodologies de pointe en apprentissage automatique (ML) ainsi que des approches innovantes en intelligence artificielle (AI) pour relever tous les défis de « l’exploration des données à leur signification ».
Nous apportons l’assurance que le contexte de production des résultats biologiques intègre le niveau de qualité attendu et respecte les cadres les plus fiables des sciences de la vie (par exemple, les directives réglementaires, éthiques et contractuelles du GDPR) ainsi que les directives Bio-IT.
Dans tous nos projets, les rapports finaux consolident les processus d’analyse biologique et in silico, les preuves de la qualité des données, les résultats documentés avec les mesures de performance ainsi que les connaissances interprétées biologiquement. La documentation finale livrée peut alors être rapidement transformé en produits, en avantages pour les patients, en publications ou en actifs de propriété intellectuelle.

1

Data Capture

Achieve the first-level of Data/Metadata integration from diverse and heterogeneous species & specimens

  • Accurate data tracking and registering based on Lab. digitizing solutions, given their type, nature or origin: LIMS for readout, eCRF for clinical endpoints, etc.
  • Depending on project demands, we propose generic/centralized data warehousing solutions up to more tailored and deeper data+metadata relationships modelling and merging. This allows to better handle the complexity of biospecimens and readout reconciliation originating from different clinical sites, (pre)clinical studies, samplings, time points, etc.
  • We used to perform data wrangling to engineer and make data curation, crucial steps prior to any accurate data analytics process, e.g. data standardisation (use of ontology, data dictionary, etc.), data enrichment (interoperability with literature and external biological reference database, etc.).
  • We adopt FAIR principles to govern our scientific Data Management backbone.
  • As BIOASTER is proposing a full-stack offer, by design, your project will benefit of “data continuity from samples collection, lab. analytics up to bioinfomatics and statistical treatments with both samples and data managed “under the same roof” which strengthens the whole data chain value.

Data
2

Data Analytics

Make yours the latest advancement in Bioinformatics & AI/ML to address integrative analytics challenges originating from Translational, Precision Medicines, host-pathogen interplay or System Biology.

  • BIOASTER has developed a holistic approach, by making the data most meaningful thanks a continuous and virtuous feed-back between biological experts, bioinformaticians and data scientists to reach refined outcomes. We turn with you project objectives in a set of clear, limited and unambiguous biological questions to be addressed.
  • Most of our in silico offer is industrialized to fulfil scale-up and robustness requirements. It is made of bioinformatics, statistical and machine learning process benchmarked and embedded into ready-to-run streamlined workflow sustained by SOP. Depending of data nature or project expectations originality, our team is capable to perform technical setup aiming to elect the most appropriate or disruptive approach to address new analytics issues.
  • We explore data connections by deciphering the best suitable statistical models capable to explain or predict response variables working on complex integration of molecular readout and clinical endpoints.
  • We make you benefit of the cumulated advantage of BigData and Deep Learning algorithms to explore new data type associations (e.g. omics, cytometry, image, etc.) as well as unsuspected potentials in terms of times to result gain, throughput and improved sensibility/specificity.
  • Our core analytics frameworks is capable to adapt to a wide diversity of projects objectives as demonstrated by BIOASTER’s track record : find molecular signatures from single-omics or multi-omics experiments, rapid profiling of microbiota in longitudinal samples, make events correlation (e.g. local vs. systemic or late vs. early to decipher the MoA of an adjuvant in multi-species system vaccinology program), stratify populations for precision medicine (e.g. poor/good responders), reduce signatures for application to IVD product, etc.

Data
3

Data Collaboration

Make project knowledge actionable while retaining the control to keep or broadcast produced information assets.

  • We provide partners with a data sharing web platform to access the data while assuring a strict role-based access control and secured information transfer.
  • Our clients have access to advanced tools for high-content & dynamic data visualisation made to reduce data complexity while favouring results interpretation.
  • We also design, prototype and implement all-in-one digital solutions which integrate raw data indexing, bioinformatics or statistical treatments as well as Visual Analytics functional blocks for hypothesis-generation/testing and guiding decision making in R&D or clinical context.
  • Data and knowledge are shaped to promote further valorisation (IP, publication, licensing, etc.)

4

Data Context

Get the guarantee to comply with a broad spectrum of up to date legal, contractual regulatory & quality frameworks applied through a Big Data & AI-ready infrastructure.

  • Our ISO9001-certified Data Quality-driven process is built to reach industrials standards.
  • BIOASTER is capable to drive or support regulatory compliance about data privacy of clinical studies in GDPR context
  • Data & generated knowledge are ready for partners sharing and further valorisation thanks to mastered Data Management procedures implementing most of FAIR principles
  • We operate Hybrid Cloud & services hosting project data with proven IT/IS standards & requirements in terms of data security, data privacy and data integrity.
  • Combination of HTC (High Throughput Computing), massive storage and high performance network bandwidth allows us to deal with the most IT resources-demanding projects, e.g. BigData and/or machine learning deep analysis.
  • Data are safely kept on infrastructure depending on contractual agreement.

2

Data Analytics

Make yours the latest advancement in Bioinformatics & AI/ML to address integrative analytics challenges originating from Translational, Precision Medicines, host-pathogen interplay or System Biology.

  • BIOASTER has developed a holistic approach, by making the data most meaningful thanks a continuous and virtuous feed-back between biological experts, bioinformaticians and data scientists to reach refined outcomes. We turn with you project objectives in a set of clear, limited and unambiguous biological questions to be addressed.
  • Most of our in silico offer is industrialized to fulfil scale-up and robustness requirements. It is made of bioinformatics, statistical and machine learning process benchmarked and embedded into ready-to-run streamlined workflow sustained by SOP. Depending of data nature or project expectations originality, our team is capable to perform technical setup aiming to elect the most appropriate or disruptive approach to address new analytics issues.
  • We explore data connections by deciphering the best suitable statistical models capable to explain or predict response variables working on complex integration of molecular readout and clinical endpoints.
  • We make you benefit of the cumulated advantage of BigData and Deep Learning algorithms to explore new data type associations (e.g. omics, cytometry, image, etc.) as well as unsuspected potentials in terms of times to result gain, throughput and improved sensibility/specificity.
  • Our core analytics frameworks is capable to adapt to a wide diversity of projects objectives as demonstrated by BIOASTER’s track record : find molecular signatures from single-omics or multi-omics experiments, rapid profiling of microbiota in longitudinal samples, make events correlation (e.g. local vs. systemic or late vs. early to decipher the MoA of an adjuvant in multi-species system vaccinology program), stratify populations for precision medicine (e.g. poor/good responders), reduce signatures for application to IVD product, etc.

Data
4

Data Context

Get the guarantee to comply with a broad spectrum of up to date legal, contractual regulatory & quality frameworks applied through a Big Data & AI-ready infrastructure.

  • Our ISO9001-certified Data Quality-driven process is built to reach industrials standards.
  • BIOASTER is capable to drive or support regulatory compliance about data privacy of clinical studies in GDPR context
  • Data & generated knowledge are ready for partners sharing and further valorisation thanks to mastered Data Management procedures implementing most of FAIR principles
  • We operate Hybrid Cloud & services hosting project data with proven IT/IS standards & requirements in terms of data security, data privacy and data integrity.
  • Combination of HTC (High Throughput Computing), massive storage and high performance network bandwidth allows us to deal with the most IT resources-demanding projects, e.g. BigData and/or machine learning deep analysis.
  • Data are safely kept on infrastructure depending on contractual agreement.